Venkataramana Runkana

According to our database, Venkataramana Runkana authored at least 14 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Redefining Super-Resolution: Fine-mesh PDE predictions without classical simulations.

Rajat Kumar Sarkar, Ritam Majumdar, Vishal Jadhav, Sakhinana Sagar Srinivas, Venkataramana Runkana

CoRR, 2023

HyperLoRA for PDEs.

Ritam Majumdar, Vishal Jadhav, Anirudh Deodhar, Shirish Karande, Lovekesh Vig, Venkataramana Runkana

CoRR, 2023

Symbolic Regression for PDEs using Pruned Differentiable Programs.

Ritam Majumdar, Vishal Jadhav, Anirudh Deodhar, Shirish Karande, Lovekesh Vig, Venkataramana Runkana

CoRR, 2023

A Model-driven Approach for Knowledge-based Engineering of Industrial Digital Twins.

Sushant Vale, Sreedhar Reddy, Sivakumar Subramanian, Subhrojyoti Roy Chaudhuri, Sri Harsha Nistala, Anirudh Deodhar, Venkataramana Runkana

Proceedings of the 26th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, 2023

Joint Hypergraph Rewiring and Memory-Augmented Forecasting Techniques in Digital Twin Technolog.

Sakhinana Sagar Srinivas, Shivam Gupta, Krishna Sai Sudhir Aripirala, Venkataramana Runkana

Proceedings of the First Workshop on AI for Digital Twins and Cyber-Physical Applications in conjunction with 32nd International Joint Conference on Artificial Intelligence (AI4DT&CP@IJCAI 2023), 2023

2022

Real-time Health Monitoring of Heat Exchangers using Hypernetworks and PINNs.

Ritam Majumdar, Vishal Jadhav, Anirudh Deodhar, Shirish Karande, Lovekesh Vig, Venkataramana Runkana

CoRR, 2022

Semi-Supervised Cascaded Clustering for Classification of Noisy Label Data.

Ashit Gupta, Anirudh Deodhar, Tathagata Mukherjee, Venkataramana Runkana

CoRR, 2022

Hypergraph Learning based Recommender System for Anomaly Detection, Control and Optimization.

Sakhinana Sagar Srinivas, Rajat Kumar Sarkar, Venkataramana Runkana

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Multi Scale Graph Wavenet for Spatio-temporal Wind Speed Forecasting.

Neetesh Rathore, Pradeep Rathore, Arghya Basak, Sri Harsha Nistala, Venkataramana Runkana

CoRR, 2021

Universal Adversarial Attack on Deep Learning Based Prognostics.

Arghya Basak, Pradeep Rathore, Sri Harsha Nistala, Sagar Srinivas, Venkataramana Runkana

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Multi Scale Graph Wavenet for Wind Speed Forecasting.

Neetesh Rathore, Pradeep Rathore, Arghya Basak, Sri Harsha Nistala, Venkataramana Runkana

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Untargeted, Targeted and Universal Adversarial Attacks and Defenses on Time Series.

Pradeep Rathore, Arghya Basak, Sri Harsha Nistala, Venkataramana Runkana

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2018

Cascade Gaussian Process Regression Framework for Biomass Prediction in a Fed-batch Reactor.

Vishnu Swaroopji Masampally, Aditya Pareek, Venkataramana Runkana

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

2009

Virtual indurator: A tool for simulation of induration of wet iron ore pellets on a moving grate.

Sushanta Majumder, Pradeepkumar Vasant Natekar, Venkataramana Runkana

Comput. Chem. Eng., 2009